Bax-dev/Food-Price-Analysis-in-Nigeria-2024-

This project performs a comprehensive analysis of food prices across different regions in Nigeria, focusing on identifying inflation trends, forecasting future prices, and offering policy recommendations for food security. 📊 Food Price Analysis and Inflation Forecasting This project focuses on analyzing food prices over time and predicting future prices. The analysis includes understanding price trends, detecting inflation rates, and suggesting policies based on food price inflation in different regions. 🚀 Project Overview We have a dataset that contains information about food items, their prices in different regions, and over time. Using this data, we: Calculate inflation rates for each item. Visualize the trends and relationships in the data through graphs. Build a predictive model to forecast future prices. Suggest policies for food security based on high inflation items. 📂 Dataset The dataset contains: Item: Name of the food item (e.g., Rice, Beans, etc.). Current_Price: The latest price of the food item. Past_Price: The previous price of the food item. Month/Year: The time when the prices were recorded. Region: The region where the data was collected. 🛠️ How to Use 1. Clone the Repository First, clone this project repository to your local machine: git clone github.com cd food-price-analysis Install Dependencies Make sure you have the required Python libraries installed. You can install them using: pip install pandas matplotlib seaborn numpy scikit-learn statsmodels . 📈 Key Steps in the Analysis Descriptive Statistics: Understand the main characteristics of the data, such as average prices and inflation rates. Missing Value Check: Identifies if there are any missing values in the dataset. Correlation Heatmap: Visualizes how different numerical columns (like current prices, past prices, inflation) are related. Price Distribution Plot: Shows how food prices are spread out and identifies common price ranges. Boxplot: Detects price outliers for each food item to identify any unusual spikes or drops. Time Series Analysis: Plots price trends over time for different food items in specific regions, such as Lagos. Predictive M …